http://dspace.iua.edu.sd/handle/123456789/5390 2026-04-13T11:10:22Z http://dspace.iua.edu.sd/handle/123456789/5441 Title: تشخيص مرض سرطان الثدي باستخدام خوارزمية Support Vector Machine Authors: مصعب عمر محمد عبد الخالق Abstract: Breast cancer affects approximately 10 percent of women around the world at some point in their lives, and has emerged as one of the most feared and most common cancers among women. The main dilemma occurs when the cancer cannot be properly identified in the initial stages. Machine learning in this area has proven to play a vital role in diagnosing diseases such as cancers. Methods of classification and identification of data that must be effective and an effective method for classifying data. Especially in the medical field, in this research classification techniques using the Automated Support Algorithm (SVM-RBF) were used on the breast cancer dataset at the University of Wisconsin. The main objective is to evaluate the accuracy of data classification with respect to the efficiency and effectiveness of the Automated Support Algorithm (SVM-RBF) in terms of accuracy, Precision, recall, specificity and F1 score. The experimental results showed that (Accuracy = 97.7%), (Precision = 97.7%), (Recall = 97.7%), (Specificity = 97.1%) and (F1 score = 97.7%) 2020-01-01T00:00:00Z http://dspace.iua.edu.sd/handle/123456789/5440 Title: تطبيق تقنيات الاختبار على التطبيقات البرمجية Authors: داليا صندل صبوه Abstract: The software testing techniques is considered one of the ways for discovering the mistakes before it found by the user during the operation in the traditional method. There are different levels for testing programs in its all stages. Techniques test are classified into two types: first type: black box test which includes several techniques such as: (decision table test, state transition and boundary value analysis). Seconded type: the white box includes: (data checking, track, and discharge). There are many techniques which have been studied before, for example: Techniques equivalence partition, techniques transition the situation, imagining the mistakes, and others. The main objective of this study is explaining techniques testing for choosing a suitable techniques for the testing. The researcher adopted descriptive and comparative method and shed light on the techniques that do not used in scientific researches. After the study and analysis and presenting different techniques. The researcher applied technique data table for achieving techniques. The researcher summaries that the techniques could be active, specially when the in data are little in this program and it will be simple data table which will execute or achieve the testing, and if the program is big and it's in or out data are many will produce very complicated table. The researcher tries through this study for shedding light on the programs that are used and applied its output at the levels of workers in the development of the software. For that this research open many doors for using these technologies and applying them and getting suitable benefit from in scientific field. The researcher recommended for the choosing the suitable technologies testing. The researcher recommended for the importance of choosing a suitable techniques for testing, also recommend of importance of using techniques that have been suggested by the researchers and applying them by the students and the users of improving software. 2020-01-01T00:00:00Z http://dspace.iua.edu.sd/handle/123456789/5439 Title: التنبؤ بمرض السكري وأنواعه باستخدام تنقيب البيانات Authors: نسرين سامر عبد الله Abstract: The research problem lies in predicting diabetes and using data mining to predict type 1 and type 2 diabetes. Data mining and analysis has become a widespread study in recent times and it can be applied to various fields where this method extracts unspecified data elements. The researcher is studying the possibility of using data mining to predict diabetes of the first and second types, and determining the appropriate method for predicting diabetes using the descriptive and analytical approach by mining the data. There are models used in the prediction process in general. We will choose from them the decision tree and the linear regression and make a comparison between them. In accuracy, precision, Recall and F measure using Rapid Miner. The researcher used the data (Pima Indians diabetics) that contain 769 records and 9 characteristics. When executing the linear regression algorithm inside the Rapidminer، we get a (accuracy = 76.09%)، (precision = 79.14%)، (Recall = 86.00%) and (F measure = 82.43%) and upon implementing the decision tree we got (accuracy = 70.87%)، (precision = 71.28%)، ( Recall = 92.67%) and (F measure = 80.58%). By comparing the results we obtained، we find that linear regression is better than the decision tree in predicting the type of diabetes. Keywords: data mining، rapidminer، decision tree، linear regression 2020-01-01T00:00:00Z http://dspace.iua.edu.sd/handle/123456789/5438 Title: دراسة قابلية الإستخدام للموقع الإلكتروني لجامعة افريقيا العالمية Authors: هادية علي محمد علي Abstract: Abstract The research aimed to apply a model to improve and study the factors that affect the usability of the International University of Africa website, and to investigate the relationship between the elements of the website design and its usability by proposing a model to study the usability of websites, applying the model on the website of the International University of Africa, which included a research problem on how to understand dealing with these sites in terms of use, using the descriptive and analytical research methodology. In this research, we reviewed the main criteria and features of usability by proposing a model to measure the usability of a website. The model was tested and validated based on data collected from a specific category of students, professors, and administrators at International University of Africa. The results show that effectiveness, efficiency, learn-ability, satisfaction, navigation and user interface design have significant and highly interconnected effects on website usability. The results also showed that demographic characteristics such as age, gender, user type, level of experience, and number of hits on the site affect the usability of the website. Among the recommendations of the research were doing studies and research procedures that depend on the user experience to reach their needs and preferences and understand their psychologies to analyze their relationship with the user interface and understand what they want, as well as the necessity to hold seminars, workshops and discussions on the website of the IUA and to involve designers, specialists and people with high level of competency to develop the site.work to improve the propsed modle by adding other factors of usability. 2020-01-01T00:00:00Z